Data Analyst, In-Store

About The Team

The SevenRooms Data & Analytics group serves as the core data resource supporting key decisions across product development, marketing, finance, and operations within the In-Store business. This team is responsible for creating and maintaining data pipelines, models, and infrastructure that integrate SevenRooms' internal systems with the broader DoorDash data environment. A significant focus is placed on preparing datasets optimized for both human and AI consumption. Their product-centric analytics efforts encompass tracking funnels, user personas, and feature adoption, which guide product creation, launch strategies, and performance evaluation.

About The Role

We are seeking a Data Analyst to collaborate closely with Product Management, Product Marketing, and executive leadership teams at SevenRooms. This role involves the ownership of building data products, analyzing feature launches, and implementing PLG (Product-Led Growth) instrumentation that connects product usage metrics to tools like Salesforce and Gainsight. The position reports directly to the Manager of Data & Analytics within the SevenRooms organization.

Key Responsibilities

• Manage end-to-end product analytics including funnels, user adoption, retention rates, and return on investment for major feature launches.
• Develop new data product solutions to enhance analytics and reporting capacities.
• Work closely with Product Managers and Marketers on hypothesis testing before launches, beta results evaluation, post-launch impact measurement, and ongoing optimization efforts.
• Create and deploy PLG automation tools that translate product interaction data into opportunity classification, expansion indicators, and customer success manager workflows.
• Collaborate with GTM Engineers applying GenAI and machine learning methods for use cases such as feature adoption detection from web data, transactions forecasting, and ideal customer profile scoring for add-ons.
• Provide comprehensive reporting and carry out ad-hoc analysis supporting multiple Product Managers.

Qualifications

• Minimum of two years experience in product data analysis and working closely with Product Management in a SaaS context.
• Advanced proficiency in SQL and experience using cloud-based BI platforms such as Looker, Tableau, or Mode.
• Practical knowledge of product analytics tools like Pendo, Amplitude, Mixpanel, or Heap.
• Proven ability to convert complex and ambiguous product questions into precise analytical projects that drive actionable recommendations.
• Excellent verbal and written communication skills with confidence presenting findings to product teams and executive stakeholders.

Compensation and Benefits

Salary for this position ranges from $98,600 to $145,000 USD annually, adjusted based on location and candidate qualifications. Additional compensation includes potential equity grants. Benefits include a 401(k) with employer match, 16 weeks paid parental leave, wellness programs, commuter benefit matches, paid time off, sick leave, medical, dental, vision coverage, 11 paid holidays, disability and life insurance, family-forming assistance, and mental health resources.

Paid Time Off Details

• Salaried employees benefit from flexible vacation policies plus 80 hours of paid sick leave per year.
• Hourly employees accrue vacation and paid sick time proportionate to hours worked, with detailed accrual rates given for 40 and 20 hours per week schedules.

Diversity and Inclusion

Our company strives to foster a diverse and inclusive workforce, welcoming candidates across all backgrounds and experiences. We maintain a strict non-discrimination policy beyond legally protected categories, encouraging applicants who identify as women, non-binary, LGBTQIA+, and members of various racial and ethnic groups, veterans, differently-abled persons, and caretakers to apply.

Additional Information

Applicants should note compliance with regulations including San Francisco and Los Angeles Fair Chance hiring ordinances. Accommodations are available upon request during recruitment. NYC-based roles may include an assessment stage utilizing Covey Scout technology as part of the hiring process, subject to audits and legal requirements.